Why do you want to learn data structure and algorithm? Code up!

Time：2022-4-2

The status of data structure and algorithm is self-evident for a programmer.
However, few programmers can learn and use well.

In addition to the weak foundation, another reason is that there are not many tutorials for Java programmers to learn.

Today, the data structure and algorithm tutorial that Java programmers dream of is finally going to meet you.

The power node is carefully recorded for Java programmers. A set of data structure and algorithm courses belonging to our Java programmers will help the majority of Java programmers systematically and deeply learn data structure and algorithm, master the essentials, realize gorgeous turnaround, enter big factories, and promotion and salary increase are just around the corner!

Data structure and algorithm tutorial

https://www.bilibili.com/vide…

http://www.bjpowernode.com/?s…

What are data structures and algorithms?

data structure

Data structure refers to the organization form of data in computer, which is divided into two dimensions: logical structure and physical structure. Among them, the logical structure is the logical abstraction of the data organization form, and the physical structure is the real organization and management of data based on the storage device, so it is also called the storage structure. Learning and studying data structure is to study the logical structure, physical structure and the relationship between them. Therefore, the word “structure” in the data structure can be understood as the relationship between data.

algorithm

In the computer field, algorithm refers to a series of instruction descriptions of the solutions to specific problems. The algorithm must be clear and finite, that is, an algorithm must have a clear definition, and a certain input can obtain the required output in limited steps.

Relationship between data structure and algorithm

Algorithm is a specific operation on a certain data structure, and the data structure is the basis of the algorithm. When solving problems, there is no best algorithm, only the most appropriate algorithm, and so is the data structure.

After learning, you will have a new understanding of structured data, no longer blindly building bricks all the time, and make a gorgeous turn to get close to the big cattle around you.

At present, there are data structures and algorithms in C language version and C + + version on the market. Then we use java language to teach data structures and algorithms, avoiding cross language learning and learning this course more easily.

Why learn data structures and algorithms?

After knowing what is data structure and algorithm, let’s talk about why we should learn it.

• First of all, the most realistic problem is that no matter school recruitment or social recruitment, more or less questions related to data structure and algorithm will be asked in technical interview. For example, in the most direct one, the interviewer asks the interviewer to write a quick code or give a piece of code, which requires the analysis of time complexity and space complexity.
• Secondly, the daily complicated business work is often easy to ignore the details and principles of program implementation. As far as Java is concerned, both its own basic API and the open source framework provided by a third party are mixed with many excellent design ideas of data structures and algorithms.
• Finally, if we don’t pay attention to the performance of the program, day after day business development obviously can’t continuously improve personal programming and design ability. The first step to improve code quality is to establish a sense of time complexity and space complexity.

To sum up, a solid foundation of data structure and algorithm can greatly improve the interview pass rate, the understanding level of language, framework and tools, and the ability of programming and design.

Course introduction

After learning, you will have a new understanding of structured data, no longer blindly building bricks all the time, and make a gorgeous turn to get close to the big cattle around you.
At present, there are data structures and algorithms in C language version and C + + version on the market. In this course, we use java language to teach data structures and algorithms, avoiding cross language learning and learning this course more easily.

Course catalogue

001. Introduction to data structure and algorithm Course

002. Introduction to data structure and algorithm (Part I)

003. Introduction to data structure and algorithm (Part 2)

004. Data structure and algorithm relationship

005. Linear structure and nonlinear structure (I)

006. Linear and nonlinear structures (Part 2)

007. Stack introduction

008. Realization of stack requirements (Part I)

009. Realization of stack requirements (Part 2)

010. On stack (judgment palindrome)

011. Under stack (judgment palindrome)

012. Stack (computer demand analysis)

013. Stack (computer requirement implementation) I

014. Stack (realization of computer requirements) II

015. Stack (realization of computer requirements) III

016. Stack (realization of computer requirements) IV

017. Stack (computer result test)

020. Application of single linked list (sequential insertion)

021. Application of single linked list (sequential insertion)

022. Application of single linked list (sequential insertion)

023. Application of single linked list (analysis of modification ideas)

024. Application of single linked list (modified code demonstration)

025. Application of single linked list (modified code demonstration)

026. Application of single linked list (delete code demonstration)

027. Application of single linked list (query code demonstration)

028. Application of single linked list (test code demonstration)

029. Single chain surface test questions

030. Introduction to two-way linked list

032. Double linked list node design